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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Introduction to Engineering Mechanics

      Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Davis

      Critical Thinking Skills for the Professional

      Skills you'll gain: Problem Solving, Brainstorming, Critical Thinking, Creative Thinking, Constructive Feedback, Decision Making, Analysis, Cognitive flexibility, Self-Awareness, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAP

      SAP Technology Consultant

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Stakeholder Engagement, Consulting, Systems Design, Relationship Management, Business Consulting, Cloud Computing, Technical Design, Solution Design, User Feedback, Product Strategy, Technical Consulting, Customer Engagement, Cybersecurity, System Implementation, Professional Networking, Project Management, SAP Applications, Test Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Michigan State University

      Photography Basics and Beyond: From Smartphone to DSLR

      Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Graphic and Visual Design, Post-Production, Photo/Video Production and Technology, Digital Design, File Management, Adobe Creative Cloud, Creativity, Color Theory, Storytelling, Content Creation, Writing, Information Privacy, Web Design and Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Social Media Management

      Skills you'll gain: Social Media Management, Content Creation, Instagram, Social Media Marketing, Social Media Strategy, Facebook, Generative AI Agents, Content Performance Analysis, Branding, Content Management, Customer Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of London

      Global Diplomacy – Diplomacy in the Modern World

      Skills you'll gain: Diplomacy, International Relations, World History, Political Sciences, Policy Analysis, Social Sciences, Cultural Diversity, Intercultural Competence, Public Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.2K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Regulatory Compliance

      Skills you'll gain: Compliance Training, Compliance Management, General Data Protection Regulation (GDPR), Regulatory Compliance, Law, Regulation, and Compliance, Compliance Reporting, Regulation and Legal Compliance, Legal Risk, Compliance Auditing, Information Privacy, Governance Risk Management and Compliance, Personally Identifiable Information, Regulatory Requirements, Risk Management, Internal Communications, Procedure Development, Data Security, Continuous Monitoring, Business Ethics, Internal Controls

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Think Outside the Inbox: Email Marketing

      Skills you'll gain: Email Marketing, Campaign Management, Marketing Automation, Personally Identifiable Information, Newsletters, Content Marketing, Digital Marketing, Copywriting, Marketing Strategy and Techniques, HubSpot CRM, Customer Data Management, Promotional Strategies, Key Performance Indicators (KPIs), Performance Analysis, Customer Retention

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Social Impact Strategy: Tools for Entrepreneurs and Innovators

      Skills you'll gain: Design Thinking, Performance Measurement, Innovation, Entrepreneurship, Business Modeling, Project Performance, Strategic Thinking, Project Design, Organizational Structure, Needs Assessment, Growth Strategies, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Extract, Transform and Load Data in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      838 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Digital Product Management: Modern Fundamentals

      Skills you'll gain: New Product Development, Product Management, Innovation, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Stakeholder Communications, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Marketing Analytics, Stakeholder Management, Product Testing, Business Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular statistics for data science courses

    • Introduction to Engineering Mechanics: Georgia Institute of Technology
    • Critical Thinking Skills for the Professional: University of California, Davis
    • SAP Technology Consultant: SAP
    • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
    • Social Media Management : Meta
    • Global Diplomacy – Diplomacy in the Modern World: University of London
    • Linear Regression and Modeling : Duke University
    • Regulatory Compliance: University of Pennsylvania
    • Think Outside the Inbox: Email Marketing: Google
    • Social Impact Strategy: Tools for Entrepreneurs and Innovators: University of Pennsylvania

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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